Heterogeneous Computing in the Edge
The table is a useful starting point , and hopefully one or more of the example workloads given are related to the closely enough to the target workloads you are considering for an edge computing deployment to provide a reasonable starting point for your processor technology selection decisions .
CONCLUSIONS
The performance , cost and efficiency of edge computing can be optimized through careful selection of various types of heterogeneous processors to run various aspects of the edge workloads . Different processor types , including CISC / RISC CPUs , GPUs , TPUs , and FPGAs can be combined into modular implementations that are optimized for the offered workloads . Modular orchestration systems dynamically adapt the heterogenous processor infrastructure to match the requirements of the offered load . Heterogeneous processor techniques are especially valuable in edge computing , as they can greatly improve the efficiency , throughput and cost measures in resource constrained edge nodes .
ACKNOWLEDGEMENTS
The views expressed in the IIC Journal of Innovation are the contributing authors ’ views and do not necessarily represent the views of their respective employers nor those of the Industrial Internet Consortium .
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